An intelligent Agentic AI system that integrates tools and manages contexts to create personalized travel packages, boosting customer satisfaction and conversion rates.
- Overview
- Key Features
- Architecture
- Technology Stack
- Project Structure
- Installation
- Configuration
- MCP Integration
- Usage
- API Reference
- Testing
- Deployment
- Future Enhancements
Utilize Agentic AI to integrate tools and manage contexts, enabling personalized travel packages that boost customer satisfaction and conversion rates.
- Travel
- Customer Experience
- Personalization
Travel planning is complex and time-consuming:
- Customers struggle to find personalized travel options
- Manual coordination of flights, hotels, and activities is tedious
- Price comparison across multiple platforms is overwhelming
- Lack of real-time availability and pricing information
- Poor context retention across customer interactions
- Generic recommendations that don't match preferences
An Agentic AI-powered travel assistant that:
- Understands customer preferences and travel history
- Integrates with multiple travel APIs via MCP
- Creates personalized, context-aware travel packages
- Provides real-time pricing and availability
- Manages complex multi-destination itineraries
- Maintains conversation context across interactions
| Feature | Description |
|---|---|
| Personalized Recommendations | AI-driven suggestions based on preferences and history |
| Multi-Platform Integration | Connect to flights, hotels, car rentals, activities APIs |
| Real-time Pricing | Live pricing and availability from multiple sources |
| Context Management | Remember customer preferences across sessions |
| Itinerary Building | Create comprehensive travel packages |
| Price Comparison | Compare options across multiple providers |
| Booking Assistance | Guide users through the booking process |
| Travel Alerts | Notify about price drops, schedule changes |
| Agent | Responsibility |
|---|---|
| Planner Agent | Understand requirements and create travel plans |
| Flight Agent | Search and compare flight options |
| Hotel Agent | Find and recommend accommodations |
| Activity Agent | Suggest local experiences and tours |
| Budget Agent | Optimize packages within budget constraints |
| Booking Agent | Handle reservations and confirmations |
┌─────────────────────────────────────────────────────────────────┐
│ USER INTERFACES │
│ (Web App / Mobile App / Chat Widget) │
└─────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ API GATEWAY │
│ (FastAPI + Authentication) │
└─────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ TRAVEL AGENT ORCHESTRATOR │
│ (LangGraph) │
│ ┌──────────────────────────────────────────────────────────┐ │
│ │ Supervisor Agent │ │
│ │ (Coordinates travel planning) │ │
│ └──────────────────────────────────────────────────────────┘ │
│ │ │
│ ┌──────────┬──────────┬────┴────┬──────────┬──────────┐ │
│ ▼ ▼ ▼ ▼ ▼ ▼ │
│ ┌─────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌────────┐ ┌────┐ │
│ │Plan │ │ Flight │ │ Hotel │ │Activity │ │ Budget │ │Book│ │
│ │Agent│ │ Agent │ │ Agent │ │ Agent │ │ Agent │ │Agent│
│ └─────┘ └─────────┘ └─────────┘ └─────────┘ └────────┘ └────┘ │
└─────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ MCP SERVER LAYER │
│ (Model Context Protocol Integration) │
└─────────────────────────────────────────────────────────────────┘
│
┌───────────────────────┼───────────────────────┐
▼ ▼ ▼
┌───────────────┐ ┌───────────────┐ ┌───────────────┐
│ Flight APIs │ │ Hotel APIs │ │ Activity APIs │
│ (Amadeus, │ │ (Booking.com, │ │ (Viator, │
│ Skyscanner) │ │ Hotels.com) │ │ GetYourGuide)│
└───────────────┘ └───────────────┘ └───────────────┘
┌────────────┐ ┌────────────┐ ┌────────────┐ ┌────────────┐
│ User │───▶│ Intent │───▶│ Context │───▶│ Agent │
│ Message │ │ Analysis │ │ Retrieval │ │ Selection │
└────────────┘ └────────────┘ └────────────┘ └────────────┘
│
┌───────────────────────────────────────────────────────┘
│
▼
┌────────────┐ ┌────────────┐ ┌────────────┐ ┌────────────┐
│ Execute │───▶│ Fetch │───▶│ Generate │───▶│ User │
│ Tools │ │ Results │ │ Response │ │ Response │
└────────────┘ └────────────┘ └────────────┘ └────────────┘
| Category | Technology | Purpose |
|---|---|---|
| Language | Python 3.11+ | Primary development language |
| Agent Framework | LangGraph | Multi-agent orchestration |
| LLM Framework | LangChain | LLM integration |
| Protocol | MCP (Model Context Protocol) | External API integration |
| LLM Provider | OpenAI GPT-4 / Claude | Conversation and reasoning |
| API Framework | FastAPI | REST API implementation |
| Context Storage | Redis | Session and context management |
| Database | PostgreSQL | User profiles and bookings |
| Category | APIs | Purpose |
|---|---|---|
| Flights | Amadeus, Skyscanner, Google Flights | Flight search and booking |
| Hotels | Booking.com, Hotels.com, Expedia | Accommodation search |
| Activities | Viator, GetYourGuide, TripAdvisor | Tours and experiences |
| Car Rentals | Hertz, Enterprise, Kayak | Vehicle rentals |
| Weather | OpenWeatherMap | Destination weather info |
| Maps | Google Maps, Mapbox | Location and routing |
travel-agent-application/
├── README.md
├── requirements.txt
├── pyproject.toml
├── Dockerfile
├── docker-compose.yml
├── .env.example
│
├── src/
│ ├── main.py
│ │
│ ├── api/
│ │ ├── routes/
│ │ │ ├── chat.py
│ │ │ ├── search.py
│ │ │ ├── bookings.py
│ │ │ └── preferences.py
│ │ ├── middleware/
│ │ └── schemas/
│ │
│ ├── agents/
│ │ ├── __init__.py
│ │ ├── supervisor.py # LangGraph orchestrator
│ │ ├── planner_agent.py # Trip planning
│ │ ├── flight_agent.py # Flight search
│ │ ├── hotel_agent.py # Hotel search
│ │ ├── activity_agent.py # Activities and tours
│ │ ├── budget_agent.py # Budget optimization
│ │ └── booking_agent.py # Booking management
│ │
│ ├── mcp/
│ │ ├── __init__.py
│ │ ├── server.py # MCP server
│ │ ├── tools/
│ │ │ ├── flight_search.py # Flight API tool
│ │ │ ├── hotel_search.py # Hotel API tool
│ │ │ ├── activity_search.py # Activity API tool
│ │ │ ├── car_rental.py # Car rental tool
│ │ │ ├── weather.py # Weather API tool
│ │ │ └── maps.py # Maps API tool
│ │ └── resources/
│ │ ├── user_preferences.py
│ │ └── trip_context.py
│ │
│ ├── context/
│ │ ├── __init__.py
│ │ ├── context_manager.py # Context management
│ │ ├── user_profile.py # User preferences
│ │ ├── trip_context.py # Current trip context
│ │ └── history_manager.py # Conversation history
│ │
│ ├── integrations/
│ │ ├── __init__.py
│ │ ├── amadeus_client.py # Amadeus API
│ │ ├── booking_client.py # Booking.com API
│ │ ├── viator_client.py # Viator API
│ │ └── weather_client.py # Weather API
│ │
│ ├── personalization/
│ │ ├── __init__.py
│ │ ├── recommender.py # Recommendation engine
│ │ ├── preference_learner.py # Learn from behavior
│ │ └── scoring.py # Option scoring
│ │
│ └── utils/
│ ├── formatters.py
│ └── validators.py
│
├── tests/
│ ├── unit/
│ ├── integration/
│ └── e2e/
│
├── data/
│ ├── destinations/
│ └── sample_itineraries/
│
├── notebooks/
│ ├── 01_api_exploration.ipynb
│ └── 02_personalization.ipynb
│
└── config/
├── agents.yaml
└── mcp_config.yaml
- Python 3.11+
- Docker and Docker Compose
- API keys for travel services (Amadeus, etc.)
# Clone repository
git clone https://github.com/your-org/travel-agent-app.git
cd travel-agent-app
# Create virtual environment
python -m venv venv
source venv/bin/activate
# Install dependencies
pip install -r requirements.txt
# Set up environment
cp .env.example .env
# Run application
uvicorn src.main:app --reload --port 8000# Application
APP_NAME=travel-agent
APP_ENV=development
# LLM
OPENAI_API_KEY=sk-your-key
# Travel APIs
AMADEUS_API_KEY=your-amadeus-key
AMADEUS_API_SECRET=your-amadeus-secret
BOOKING_API_KEY=your-booking-key
VIATOR_API_KEY=your-viator-key
# MCP
MCP_SERVER_PORT=3000
# Database
DATABASE_URL=postgresql://user:pass@localhost/travel
REDIS_URL=redis://localhost:6379| Tool | Description |
|---|---|
search_flights |
Search for flight options |
search_hotels |
Find accommodations |
search_activities |
Discover tours and experiences |
get_weather |
Get destination weather |
create_itinerary |
Build travel itinerary |
book_service |
Make a reservation |
| Resource | Description |
|---|---|
user://preferences |
User travel preferences |
trip://current |
Current trip context |
trip://history |
Past trip history |
User: "I want to plan a romantic getaway to Paris for next month"
Agent: "How wonderful! Paris is a beautiful destination for a romantic getaway!
Let me help you plan the perfect trip.
To create a personalized package, I'd like to know:
1. 📅 What are your preferred travel dates?
2. 💰 What's your approximate budget per person?
3. ⭐ Do you prefer boutique hotels or larger chains?
4. 🎭 Any specific experiences you're interested in?
(Eiffel Tower, wine tasting, Louvre, etc.)
I'll search for the best flights, accommodations, and romantic activities
for you!"
from travel_agent import TravelAgent
agent = TravelAgent(user_id="user_123")
# Plan a trip
response = agent.chat(
"Find me flights from NYC to Paris for Feb 14-21, under $1000"
)
print(response.flights)
print(response.recommendations)pytest
pytest --cov=src --cov-report=htmldocker-compose up --build- Voice interface integration
- Real-time price alerts
- Group travel coordination
- Loyalty program integration
- AR destination previews
- Multi-language support
- Visa requirements checker
- Travel insurance integration
MIT License - see LICENSE for details.
Made with ❤️ for Travelers